Quantitative Trader

Responsibilities: Building algorithmic models Conducting alpha research on different systematic equity strategiesPartnering with team members to build and improve trade infrastructure and tools for tradingAnalyzing large amounts of historical data from a variety sources Designing and testing new predictive signals, data sets, or trading strategies Building machine learning systems used to predict patterns in various aspects of portfoliosRequirements Proficiency in Python and/or R (Python preferred)Experience applying machine learning models to trade signal production/optimizationAt least 3 years experience in a Quant Research position at a hedge fund or algorithmic trading firmMaster's degree in Computer Science, Statistics, Mathematics, or Engineering (preferred)Experience working with large amounts of data across various data sets
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